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How to Use the DOD Contracts (FPDS) MCP in LlamaIndex

Index live federal procurement data with this MCP Server into your LlamaIndex vector store for grounded contract analysis.

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Connect DOD Contracts (FPDS) MCP to LlamaIndex

Create your Vinkius account to connect DOD Contracts (FPDS) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Index FPDS XML payloads for RAG applications

Turn raw federal contract data into searchable knowledge. This MCP Server allows your LlamaIndex agent to pull live award data via `search_contracts` and immediately index it into your vector database. Your RAG pipeline can then query past federal awards alongside your internal proposal documents. This ensures your agent answers questions using actual, authoritative federal data instead of hallucinating award details.

Search DOD Contracts (FPDS) with LlamaIndex

Stop relying on rigid keyword matches. By using `search_contracts`, your agent gathers federal XML entries and builds a semantic index of defense spending. Users can ask complex questions about defense procurement trends. The index matches the semantic intent of the query against the actual XML records retrieved from the FPDS feed.

Ground agent responses in real procurement data

Ensure your defense market intelligence is accurate. The `search_contracts` tool fetches raw XML directly from the source, giving your agent the exact transaction records it needs. By passing these MCP tools directly to your LlamaIndex FunctionAgent, you create a closed-loop system. The agent reads the XML, updates its index, and cites specific contract numbers in its final response.

Setup guide

Set up DOD Contracts (FPDS) MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all DOD Contracts (FPDS) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to DOD Contracts (FPDS) tools.",
)
response = await agent.run("List recent DOD Contracts (FPDS) data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FPDS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about DOD Contracts (FPDS) MCP in LlamaIndex

Use the `search_contracts` tool to fetch the raw XML payload, then pass the output to a LlamaIndex document parser. From there, you can chunk and index the contract nodes directly into your vector store.
Absolutely. The `search_contracts` tool provides the authoritative XML data that your agent uses to verify facts. This prevents the model from hallucinating contract amounts or agency codes.
The tool itself queries the structured FPDS database, but you can index the returned XML into LlamaIndex to run semantic searches. This lets you find related defense awards that standard keyword searches might miss.
You can use the allowed_tools filter when initializing the client. This ensures your agent only accesses the specific contract search capabilities it needs.
All transactions run through an MCP sandbox on Vinkius, which immediately wipes session state. Your specific FPDS query parameters and XML payloads are never stored, keeping your strategic bidding plans secure.

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